MS
Morgan StanleyParis

2027 Quantitative Finance Off-Cycle Internship (Paris)

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Programme

Internship

Location

Paris

Duration

6 months

About the role

Six-month Paris internship in Morgan Stanley’s Quantitative Finance division for students completing a long-term study placement and graduating in 2027. Interns join front-office strategist teams aligned with sales or trading, developing models, trading tools, data solutions, and quantitative strategies while working with desks, technologists, and risk managers.

Responsibilities

  • Join front-office strategist teams aligned with sales or trading businesses, contributing to projects and quantitative models.
  • Work directly with senior sales and trading desks to support strategic decisions, efficiencies, technology, and change.
  • Electronic Trading Strategists advise clients, optimise execution, and help develop Morgan Stanley’s algorithmic trading tools.
  • Desk Strategists use statistics and machine learning to develop trading strategies, tools, models, and systematic flows.
  • Modelling Strategists create pricing models and hedging strategies using applied probability and numerical analysis.
  • Data Strategists apply big data, machine learning, and artificial intelligence to improve data infrastructure, quality, and commercialisation.

Training and Development

  • Receive on-the-job training and one-to-one sessions covering data resources, models, analytical tools, and AIML capabilities.
  • Complete curriculum covering financial markets, products, and technical skills.
  • Gain exposure to Sales, Trading, and Management, with networking opportunities across the Firm.
  • Receive career guidance and broader network support from an assigned mentor.

Requirements

  • Currently studying toward a Master’s or PhD degree and graduating in 2027.
  • Academic background in mathematics, statistics, engineering, computer science, or a related field.
  • Knowledge of Python, Scala, Java, KDB/q, C++, or a similar programming language.
  • Demonstrated interest in financial markets and motivation to work in a fast-paced, team-oriented environment.
  • Curiosity, creativity, new ideas, alternative problem-solving approaches, and pragmatic delivery focus.
  • Practical problem-solving skills, attention to detail, and effective written and verbal English communication.

Application

  • Submit only a CV and covering letter in English.
  • A coding assessment may be required; applicants will be notified if applicable.